Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study
The fusion model combining radiomics and DL features exhibits superior diagnostic performance in preoperative diagnosis of meningioma sinus invasion. It is expected to become a powerful tool for clinical surgical plan selection and patient prognosis assessment.
Authors
- Jialiang Ren (ORCID: https://orcid.org/0000-0001-5616-7035)
- Jing Zhang (ORCID: https://orcid.org/0000-0002-0419-7141)
- Wei Hu (ORCID: https://orcid.org/0000-0002-0416-1130)
- Yuan Gui (ORCID: https://orcid.org/0009-0001-5537-0231)
- Fang Zhang (ORCID: https://orcid.org/0000-0001-7135-1076)
- Limei Wang (ORCID: https://orcid.org/0000-0002-5041-2287)
- Fuqiang Tang
Institutions
- Zunyi Medical University (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1186/s40644-025-00845-5
- Citations
- 3
- Primary Topic
- Meningioma and schwannoma management
- Type
- article
- Field-Weighted Citation Impact
- 4.06